electricsheepafrica/africa-world-bank-health-indicators-for-cote-d-ivoire

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- tabular-classification
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- health
- indicators
- civ
pretty_name: "Cote d'Ivoire - Health"
dataset_info:
splits:
- name: train
num_examples: 7944
- name: test
num_examples: 1986
---

# Cote d'Ivoire - Health

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-health-indicators-for-cote-d-ivoire) · **License:** `cc-by` · **Updated:** 2026-03-27

---

## Abstract

Contains data from the World Bank's [data portal](http://data.worldbank.org/). There is also a [consolidated country dataset](https://data.humdata.org/dataset/world-bank-combined-indicators-for-cote-d-ivoire) on HDX.

Improving health is central to the Millennium Development Goals, and the public sector is the main provider of health care in developing countries. To reduce inequities, many countries have emphasized primary health care, including immunization, sanitation, access to safe drinking water, and safe motherhood initiatives. Data here cover health systems, disease prevention, reproductive health, nutrition, and population dynamics. Data are from the United Nations Population Division, World Health Organization, United Nations Children's Fund, the Joint United Nations Programme on HIV/AIDS, and various other sources.

Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2026-03-27. Geographic scope: **CIV**.

*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Public health |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 9,930 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 7,944 rows |
| **Test split** | 1,986 rows |
| **Geographic scope** | CIV |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Cote d'Ivoire), `country_iso3` (CIV), `year` (range 1960.0–2025.0).

**Outcome / Measurement** — `value` (range -250964.0–31934230.0).

**Identifier / Metadata** — `indicator_name` (Net migration, Population ages 15-64 (% of total population), Population ages 60-64, female (% of female population)), `indicator_code` (SM.POP.NETM, SP.POP.1564.TO.ZS, SP.POP.6064.FE.5Y), `esa_source` (HDX), `esa_processed` (2026-04-15).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-health-indicators-for-cote-d-ivoire")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()
```

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `country_name` | object | 0.0% | Cote d'Ivoire |
| `country_iso3` | object | 0.0% | CIV |
| `year` | int64 | 0.0% | 1960.0 – 2025.0 (mean 1998.6448) |
| `indicator_name` | object | 0.0% | Net migration, Population ages 15-64 (% of total population), Population ages 60-64, female (% of female population) |
| `indicator_code` | object | 0.0% | SM.POP.NETM, SP.POP.1564.TO.ZS, SP.POP.6064.FE.5Y |
| `value` | float64 | 0.0% | -250964.0 – 31934230.0 (mean 391664.9134) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-15 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 1998.6448 | 2002.0 |
| `value` | -250964.0 | 31934230.0 | 391664.9134 | 28.6 |

---

## Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (`N/A`, `null`, `none`, `-`, `unknown`, `no data`, `#N/A`) were unified to `NaN`. The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

---

## Limitations

- Data originates from World Bank Group and has not been independently validated by ESA.
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/world-bank-health-indicators-for-cote-d-ivoire) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_health_indicators_for_cote_d_ivoire,
title = {Cote d'Ivoire - Health},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-health-indicators-for-cote-d-ivoire},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}
```

---

*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*

annotations_creators:
- 无人工标注
language_creators:
- 公开资源采集
language:
- en
license: CC BY 4.0
multilinguality:
- 单语种
size_categories:
- 1000 < 样本数 < 10000
source_datasets:
- 原创数据集
task_categories:
- 表格分类
task_ids: []
tags:
- 非洲
- 人道主义
- HDX
- Electric Sheep Africa
- 卫生
- 指标
- CIV
pretty_name: "科特迪瓦 - 卫生"
dataset_info:
splits:
- name: train
num_examples: 7944
- name: test
num_examples: 1986

# 科特迪瓦 - 卫生数据集

**发布方：** 世界银行集团 · **数据来源：** [HDX（人道主义数据交换平台，Humanitarian Data Exchange）](https://data.humdata.org/dataset/world-bank-health-indicators-for-cote-d-ivoire) · **许可证：** `CC BY` · **最后更新：** 2026-03-27

---

## 摘要

本数据集包含源自世界银行[数据门户](http://data.worldbank.org/)的公开数据。HDX平台上还发布了一份[科特迪瓦综合国家数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-cote-d-ivoire)。

改善卫生状况是千年发展目标的核心内容，公共部门是发展中国家医疗卫生服务的主要供给方。为缩小卫生服务公平性差距，多国均强调发展初级卫生保健体系，包括免疫接种、环境卫生建设、安全饮用水获取以及安全分娩相关举措。本数据集涵盖卫生系统、疾病预防、生殖健康、营养与人口动态等领域的数据，其来源包括联合国人口司、世界卫生组织、联合国儿童基金会、联合国艾滋病规划署及其他多方机构。

本数据集每一行均代表国家级汇总数据。该数据集在HDX上的最后更新时间为2026年3月27日。地理覆盖范围：**科特迪瓦（CIV）**。
本数据集由[Electric Sheep Africa（电羊非洲团队）](https://huggingface.co/electricsheepafrica)整理为机器学习友好的Parquet格式（Parquet）。

---

## 数据集特征

| | |
|---|---|
| **研究领域** | 公共卫生 |
| **观测单元** | 国家级汇总数据 |
| **总数据行数** | 9930 |
| **列数** | 8（2个数值型列，6个分类型列，0个日期时间型列） |
| **训练集划分** | 7944行 |
| **测试集划分** | 1986行 |
| **地理覆盖范围** | 科特迪瓦（CIV） |
| **发布方** | 世界银行集团 |
| **HDX最后更新时间** | 2026-03-27 |

---

## 变量说明

**地理类变量** — `country_name`（国家名称：科特迪瓦）、`country_iso3`（国家ISO3代码：CIV）、`year`（年份，取值范围：1960.0–2025.0）。

**结果/测量类变量** — `value`（指标数值，取值范围：-250964.0–31934230.0）。

**标识符/元数据类变量** — `indicator_name`（指标名称：净移民、15-64岁人口占总人口比例、60-64岁女性人口占女性总人口比例）、`indicator_code`（指标代码：SM.POP.NETM、SP.POP.1564.TO.ZS、SP.POP.6064.FE.5Y）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-15）。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-health-indicators-for-cote-d-ivoire")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()

---

## 数据结构

| 列名 | 数据类型 | 空值占比 | 取值范围/示例值 |
|---|---|---|---|
| `country_name` | 字符串型（object） | 0.0% | 科特迪瓦 |
| `country_iso3` | 字符串型（object） | 0.0% | CIV |
| `year` | 64位整型（int64） | 0.0% | 1960.0 – 2025.0（均值：1998.6448） |
| `indicator_name` | 字符串型（object） | 0.0% | 净移民、15-64岁人口占总人口比例、60-64岁女性人口占女性总人口比例 |
| `indicator_code` | 字符串型（object） | 0.0% | SM.POP.NETM、SP.POP.1564.TO.ZS、SP.POP.6064.FE.5Y |
| `value` | 64位浮点型（float64） | 0.0% | -250964.0 – 31934230.0（均值：391664.9134） |
| `esa_source` | 字符串型（object） | 0.0% | HDX |
| `esa_processed` | 字符串型（object） | 0.0% | 2026-04-15 |

---

## 数值型变量统计摘要

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1960.0 | 2025.0 | 1998.6448 | 2002.0 |
| `value` | -250964.0 | 31934230.0 | 391664.9134 | 28.6 |

---

## 数据整理流程

原始数据通过CKAN API从HDX下载，并转换为Parquet格式（Parquet）。列名统一转换为小写并规范化为蛇形命名法。将常见缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。本数据集以固定随机种子（42）按80/20的比例划分为训练集与测试集，并保存为Snappy压缩的Parquet格式（Parquet）文件。

---

## 数据集局限性

- 本数据集源自世界银行集团，未经Electric Sheep Africa（电羊非洲团队）独立验证。
- 自动化数据清洗流程无法修正原始数据收集阶段存在的错报值、定义不一致或抽样偏差问题。
- 请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/world-bank-health-indicators-for-cote-d-ivoire)获取发布方提供的官方方法说明与注意事项。

---

## 引用格式

bibtex
@dataset{hdx_africa_world_bank_health_indicators_for_cote_d_ivoire,
title = {Cote d'Ivoire - Health},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-health-indicators-for-cote-d-ivoire},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

---

*[Electric Sheep Africa（电羊非洲团队）](https://huggingface.co/electricsheepafrica) — 非洲机器学习数据集基础设施，尼日利亚拉各斯。*